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Feb 16-20, 2026 ยท Dallas, TX

CESMII Smart Manufacturing Profiles

Information models for Enterprise B beverage manufacturing data. Two custom profiles for our core metrics, plus the standard VDMA Machine Identification.

SM Profiles define the semantic contract for data flowing through our EMQX pipeline. They describe the shape, types, and meaning of each field independently of transport protocol (OPC UA, MQTT, SQL).

All schemas use JSON Schema 2020-12. Payloads reference their profile via the $namespace field.

Profiles

BeverageOEEType

Custom

OEE metrics, production counts, rates, and time allocation for bottling and packaging.

Field Type Unit / Note
oee * number 0–1
availability * number 0–1
performance * number 0–1
quality * number 0–1
countInfeed integer units
countOutfeed integer units
countDefect integer units
rateActual integer units/hr
rateStandard integer units/hr
timeRunning integer seconds
timeIdle integer seconds
timeDownPlanned integer seconds
timeDownUnplanned integer seconds

* required

LiquidProcessDataType

Custom

Process variables for batch mixing, storage tanks, and pasteurization.

Field Type Unit / Note
temperature * number °C
state * object PackML state
state.name string e.g. "Running"
state.code integer numeric code
state.type string classification
state.duration integer seconds
flowRate integer L/h
weight number kg

* required

Machine Identification

VDMA 40001-1

Standard OPC UA Machinery profile for equipment identity. Applied to all Enterprise B assets.

Field Type Note
manufacturer * string
serialNumber * string
productInstanceUri * uri globally unique
model string
productCode string catalog code
deviceClass string e.g. "Filler"
yearOfConstruction integer
location string ISA-95 path
assetId string plant tag

* required

Example payloads

{
  "$namespace": "https://github.com/emqx/proveit/profiles/BeverageOEEType/v1.0",
  "timestamp": "2026-02-13T14:30:00Z",
  "site": "Site1",
  "area": "fillerproduction",
  "line": "fillingline01",

  "oee": 0.72,
  "availability": 0.89,
  "performance": 0.85,
  "quality": 0.95,

  "countInfeed": 43200,
  "countOutfeed": 41040,
  "countDefect": 2160,
  "rateActual": 7200,
  "rateStandard": 8500,

  "timeRunning": 28800,
  "timeIdle": 1800,
  "timeDownPlanned": 3600,
  "timeDownUnplanned": 1200
}

Data flow

OPC UA Server → EMQX Neuron → EMQX Edge → EMQX Cloud → EMQX Tables → Grafana

At each stage, data conforms to the profiles above. The profiles are the semantic contract that makes data interpretable regardless of transport (OPC UA, MQTT, or SQL).

OPC UA tag → profile field (BeverageOEEType)

Profile field NeuronEX tag OPC UA path
oee metric/oee {Site}/{Area}/{Line}/metric/oee
availability metric/availability {Site}/{Area}/{Line}/metric/availability
performance metric/performance {Site}/{Area}/{Line}/metric/performance
quality metric/quality {Site}/{Area}/{Line}/metric/quality
countInfeed input/countinfeed {Site}/{Area}/{Line}/metric/input/countinfeed
countOutfeed input/countoutfeed {Site}/{Area}/{Line}/metric/input/countoutfeed
countDefect input/countdefect {Site}/{Area}/{Line}/metric/input/countdefect
rateActual input/rateactual {Site}/{Area}/{Line}/metric/input/rateactual
timeRunning input/timerunning {Site}/{Area}/{Line}/metric/input/timerunning
timeDownUnplanned input/timedownunplanned {Site}/{Area}/{Line}/metric/input/timedownunplanned
Schemas on GitHub · CESMII ProveIt SM Profiles